55 results about "Integrated database" patented technology

The invention relates to the technical field of information communication, in particular to a plate warehousing method and system of the Internet of Things and a storage medium. The method comprises the following steps that an RFID reader-writer is initialized, near-field induction scanning of a radio frequency identification chip is carried out on furniture plates to be put in storage, and unique code information is obtained; performing data formatting processing on the unique coding information to obtain a standard coding query parameter; acquiring three-dimensional structure data of furniture plates to be put in storage, and identifying structural features of the plates; calling an API (Application Program Interface) of a remote data server based on the standard coding query parameters to obtain plate specification information; and performing template filling and code conversion on the plate specification information to obtain electronic tag image data. According to the invention, through integration of RFID, database synchronization, physical feature identification and path planning technologies, full-process automatic management of plate warehousing is realized, and efficiency, accuracy and data consistency are improved.

The embodiment of the invention discloses an authority hierarchical control method based on dynamic desensitization and real-time monitoring and an operation and maintenance bastion host system.According to the embodiment of the invention, by integrating a database firewall and a dual-mode desensitization engine and combining authority hierarchical control and real-time semantic analysis, the data security and operation compliance in an operation and maintenance scene are remarkably improved, and the operation and maintenance security is improved. The dynamic desensitization rewrites a query statement in real time according to a user role, and limits exposure of original data; static desensitization is performed to pre-generate an isolated copy, so that direct access to a production library is reduced; based on semantic analysis and a rule engine, the response time is shortened to be within 1 second; the static desensitization library supports direct use of development and testing, and the permission application process is reduced; a rule base is dynamically updated through an Attention-GRU-Adaboost model, and the adaptability to a novel attack mode is improved.

The invention discloses a three-dimensional modeling and intelligent operation and maintenance system and method for a nuclear power plant, and the system comprises a design drawing marking module which is used for carrying out the digital processing of a design drawing of the nuclear power plant; the data acquisition module is used for acquiring multi-dimensional data from a plurality of business systems of the nuclear power plant; the data processing module is used for carrying out data cleaning, conversion and standardization processing on the annotation file and the collected multi-dimensional data; the engineering integrated database is used for storing structured geometric information and multi-dimensional engineering data; the three-dimensional modeling module is used for generating a three-dimensional digital model based on the structured data; the real-time data updating module is used for dynamically updating the equipment state, the fault information and the position relation in the three-dimensional digital model; the three-dimensional visual display module is used for displaying the equipment layout, the pipeline trend and the building structure of the nuclear power plant; and the intelligent operation and maintenance module is used for equipment fault prediction. According to the invention, intelligentization and high efficiency of full-life-cycle management of the nuclear power plant are promoted.

The invention discloses a bacterial selenoprotein online resource platform, an application method, a terminal and a medium, and relates to the technical field of biological medicine, the online resource platform is deployed on a server, the cloud server is a Ubuntu cloud server, and Nginx, Waitpress and Flask are configured; the server side is in butt joint with a background resource, and the background resource is in butt joint with the constructed bacterial selenoprotein database; the server is in butt joint with a user interface of the front end, the user interface designs a corresponding interface framework and an interaction function based on static resources hosted by Nginx, and the interaction function is used for realizing query, analysis and use of relevant information of the bacterial selenoprotein. According to the method, a convenient online access channel of an integrated database and a real-time data analysis tool are provided for users in related fields, and important support is provided for accurate annotation of selenoprotein genes in a bacterial genome plan.

The invention discloses a probiotic mulberry leaf and camellia nitidissima production data tracing and management method and system, and relates to the technical field of probiotic mulberry leaf and camellia nitidissima data management, and the method comprises the steps: S1, collecting probiotic mulberry leaf and camellia nitidissima data, carrying out the feature layering processing, and sending all data into a flora information integration database; s2, establishing a quality trend prediction model, predicting batch future flora activity, and judging whether flora batch information is directly matched through raw material data or not, if yes, directly running S4, and if not, running S3; s3, preparing an information compensation mechanism, and calculating batch comprehensive similarity by carrying fermentation dynamic fingerprints and combining flora activity to obtain flora standby batch information; and S4, extracting all production lines of the problem batch, and matching the optimal process parameter combination according to the predicted activity value. According to the method, the problem of incapability of tracing due to incomplete data or wrong information matching possibly caused by excessive flora change trend is solved.

The invention relates to the technical field of vehicle scratch detection, in particular to a vehicle damage state recognition and analysis method and system based on multi-modal data, and the method comprises the steps: carrying out the real-time monitoring of a target vehicle, and immediately generating a detection signal when a designated contact object is recognized; obtaining a front feature image and a termination image, carrying out difference processing to obtain a difference image, then identifying the type of a specified contact object, counting the number of damage occurrence times and the total number of contact times, calculating the damage probability, and comparing the difference image with scar features to determine a scar similarity value; and finally, performing weighting processing on the damage probability and the scar similarity value to obtain a damage coefficient, and generating a low-risk signal and a high-risk signal according to the damage coefficient, thereby realizing intelligent graded early warning of the vehicle damage risk. According to the method, contact object type retrieval, scar feature matching and data statistics are carried out based on the integrated database, and data support is provided for analysis.

The invention discloses a paddy field heavy metal risk assessment system based on multi-source data fusion, and belongs to the technical field of agricultural production informatization, the paddy field heavy metal risk assessment system comprises basic hardware, an integrated database and a heavy metal risk assessment system, and the basic hardware is composed of a server, data acquisition and processing equipment and network equipment; the integrated database comprises an attribute database, a literature database and a regulation database; the system comprises platform software and a function module. According to the paddy field heavy metal risk assessment system based on multi-source data fusion, soil, crop and heavy metal data and a literature and regulation library are integrated to build an agricultural multi-source database, paddy field soil and grain heavy metal ecological and health risk assessment is carried out, the assessment system is formed, pollution conditions are visualized based on the GIS technology, a thermodynamic diagram is dynamically updated, and the risk assessment accuracy is improved. Key areas are early warned, and pollution prevention and control decisions are assisted.

The invention provides a multi-hop RAG information reasoning method and system based on transform deep learning. The method comprises the following steps: S101, carrying out data collection in a specific field through modes of automatic capture, API integration, database integration and manual input; s102, aiming at requirements and characteristics of a specific field, a multi-hop RAG model architecture is constructed in a customized manner, and a Transform deep learning architecture is adopted as a core construction module of the model; s103, a knowledge graph of the specific field is constructed, and the knowledge graph comprises entities, relationships and attribute information and is used for representing concepts and associations in the specific field; s104, training the collected data model architecture by using a pre-training strategy, and optimizing the parameters and the structure of the model; and S105, regularly evaluating the model through accuracy and recall rate indexes.

The invention discloses a surveying and mapping data integrated building target rapid extraction method and system, and relates to the related technical field of building target extraction, and the method comprises the steps: integrating multi-source parallel collection data, and constructing a surveying and mapping integrated database of a target region; acquiring first target surveying and mapping integrated data; extracting a high-dimensional feature vector representing the facade material of the target building; inputting the high-dimensional feature vector into a spectrum-texture collaborative enhancement model to carry out data extraction influence analysis; and if the first influence coefficient is greater than a preset influence coefficient, activating the spectrum-texture collaborative enhancement network to perform data enhancement, obtaining second target surveying and mapping integrated data, and generating an extraction model of the target building. The technical problems of low building recognition rate and poor extraction accuracy caused by difficulty in effectively recognizing the target building formed by different building materials according to material reflection characteristics in the prior art are solved, the accurate extraction model is efficiently generated, and the technical effect of improving the building target recognition rate and accuracy is achieved.

A system is provided.SOLUTION: A generative AI model means for analyzing the optimal matching between the crew and the shops by using the integrated database, a means for generating an optimal manpower allocation scheme based on the analysis result, a means for notifying the staff of the manpower allocation scheme based on the characteristics of the crew and the characteristics of the shops, and a means for collecting feedback information on the manpower allocation scheme; Means for updating the generative AI model to reflect the collected feedback in a next placement proposal.SELECTED DRAWING: Figure 1

The invention relates to the technical field of mine engineering, in particular to a mine multi-specialty drawing data collaborative management method based on a space-time integrated database, which comprises the following steps: acquiring data of each specialty department of a mine, acquiring an original drawing data set, preprocessing, designing and constructing a data model taking a space-time dimension as a core, and establishing a data model; the method comprises the following steps of: establishing an efficient primary key index and a spatial index, managing the drawing data through a version control mechanism, creating a unique version number and storing a modification record, and providing a space-time condition query interface and a visual display function, so as to efficiently store and manage the drawing data in a space-time integrated database, mapping and importing the data into the database, and establishing an efficient primary key index and a spatial index; and automatically generating a final collaborative management report in combination with the version history and the conflict resolution record. The invention provides an efficient and traceable drawing data collaborative management method, which can effectively solve the problem of collaborative work among a plurality of professional fields and improve the data management efficiency and the project execution effect.

A system to evaluate engagement score of at least one of a social media post is disclosed. The system includes a processing subsystem including a registration module to register users in an integrated database by creating user profile. The registration module is to link social media platforms associated with the users with the user profile. The processing subsystem includes a bio page module to fetch parameters corresponding to the social media post from the social media platforms. The bio page module is to generate hash value corresponding to the parameters to append the parameters in a blockchain network. The processing subsystem includes a scoring module to normalize the number of likes, the number of shares and the number of comments to obtain respective normalized values. The scoring module is to add the respective normalized values upon multiplying the respective normalized values to obtain the engagement score.

This invention relates to the field of breeding technology, specifically to a seed cutting and parent-sample corresponding collection and coding system, including a motion control system, a counter, and a cutting completion signal module. The motion control system is electrically connected to a first motion module and a second motion module. The first motion module supports the sample box, and the second motion module supports the collection box, with the first cell position directly below the initial collection position. The counter value is set to N, with an initial value of 1. Each time a drive command is generated based on the cutting completion signal, the counter value N increases by 1. This invention, by setting a synchronous motion control system and a counter, achieves synchronous linkage drive and precise position coding of the sample box and the parent-sample collection box, achieving the technical effect that after a successful cutting, the sample and parent-sample automatically fall into the same sequence number physical cell. Furthermore, by integrating a database and dynamically associating it with the counter sequence number, it achieves the technical effect of establishing a traceable electronic archive.

A computer can connect with a middleware computing system. The middleware computing system may use application programming interfaces (APIs), webhooks, file-based integration, database replication, message queues, websockets, or direct integration to establish connections with different computing devices. The computer may request a data structure classification for an external data structure stored in a remote computing device. The middleware computing system can receive the request, identify the connection that the middleware computing device has with the remote computing device, and retrieve records for transactions performed by the external data structure from the remote computing device. The middleware computing system can use metadata in the records to automatically determine a data structure type of the data structure. The middleware computing system can generate instructions that cause the computer to link the external data structure with the profile.

A device and a method for collecting, analyzing and integrating log data of an in-vehicle infotainment (IVI) system are disclosed. The method for collecting, analyzing and integrating log data of an IVI system includes identifying model information of a vehicle to be a target of digital forensics, hardware information and software information related to the IVI system of the vehicle, collecting target data for the digital forensics based on the model information, the hardware information and the software information, and storing the collected target data in an integrated database.

A computer can connect with a middleware computing system. The middleware computing system may use application programming interfaces (APIs), webhooks, file-based integration, database replication, message queues, websockets, or direct integration to establish connections with different computing devices. The computer may request a data structure classification for an external data structure stored in a remote computing device. The middleware computing system can receive the request, identify the connection that the middleware computing device has with the remote computing device, and retrieve records for transactions performed by the external data structure from the remote computing device. The middleware computing system can use metadata in the records to automatically determine a data structure type of the data structure. The middleware computing system can generate instructions that cause the computer to link the external data structure with the profile.

This application belongs to the field of digital twin basic data management technology. This application provides an automated method and apparatus for generating spatial identity codes for basic geographic entities. The embodiments of this disclosure acquire the geometric and classification information of basic geographic entities under a unified spatiotemporal reference, automatically calculate the minimum bounding rectangle / minimum outer cube, adaptively select the minimum grid level that can contain the geometric range, and generate two-dimensional or three-dimensional location codes level by level according to the BeiDou grid location code rules. These are combined with classification codes and sequence codes to form a standard field; then, a proprietary identification field is formed by combining this field with root identifier codes and special codes, and extended fields are added as needed to achieve interaction with external codes. This can realize the automated generation, verification, parsing, and traceability of spatial identity codes in scenarios such as provincial, municipal, and county collaborative production updates, two-dimensional / three-dimensional integrated database construction, semantic association, and service publishing, providing unified support for the data organization and management of basic geographic entities and cross-industry interconnection.

The application discloses a kind of intelligent optimization method for seismic performance of building structure fusion machine learning, it is related to intelligent data processing technology field of building structure seismic design, the method collects building structure design, historical earthquake damage, material mechanics, site geology and specification index etc. Multi-source data, by standardization cleaning and structured storage construction seismic performance optimization integrated database;Extraction and screening core feature parameter form standardization dataset;Build multi-branch deep learning model to realize seismic performance evaluation and weak area identification;Based on deep reinforcement learning, an intelligent optimization model is established, and multiple seismic optimization design schemes are generated;Perform multi-level seismic elastic-plastic time-history analysis and performance verification on the schemes, select the compliant optimization scheme, and complete database update and model incremental iteration.The application realizes the full-process intelligent optimization of building structure seismic design, improves the seismic design efficiency and optimization accuracy, and provides stable technical support for building seismic optimization.

An embodiment of the present invention discloses a permission hierarchical control method and an operation and maintenance bastion host system based on dynamic desensitization and real-time monitoring. The embodiment of the present invention significantly improves data security and operational compliance in operation and maintenance scenarios by integrating a database firewall and a dual-mode desensitization engine, combining permission hierarchical control and real-time semantic analysis. Dynamic desensitization rewrites query statements in real time according to user roles to limit the exposure of original data; static desensitization pre-generates isolated copies to reduce direct access to production libraries; based on semantic analysis and rule engines, the response time is shortened to within 1 second; the static desensitization library supports direct use in development and testing, reducing the permission application process; and the rule library is dynamically updated through the Attention-GRU-Adaboost model to improve adaptability to new attack patterns.

The invention relates to the technical field of cable digital televisions, in particular to a cable digital television front-end wire harness integration system and method, and the method comprises the following steps: S1, obtaining the basic information and interface parameters of all devices at the front end of a cable digital television; s2, designing a wire harness branch group and integration parameters; s3, prefabricating a standardized wire harness branch group with an identifier; s4, wire harness branch group installation and information binding; and S5, constructing a wire harness integrated database and maintaining and updating: regularly inspecting all wire harnesses, recording signal test data and updating the signal test data to the database. According to the method, the equipment interface information table containing the equipment number, the interface number, the interface type, the signal type, the interface impedance and the interface position coordinates is constructed, so that accurate integration of the front-end equipment and the interface information of the cable digital television is realized, and comprehensive basic data support is provided for subsequent wiring harness design and installation; the problem of mismatching of the wire harness and the interface caused by information loss is effectively avoided, and the accuracy of front-end signal transmission is guaranteed.

This invention discloses an energy meter with self-identification of abnormal electricity consumption patterns and its intelligent mode switching method, belonging to the field of energy meter testing technology. The energy meter integrates a database configuration module, a cyclic sampling and monitoring module, a membership analysis module, and a mode switching evaluation module. The application method is as follows: configure an electricity consumption parameter database and an electricity consumption status database, storing electricity consumption parameter sample clusters categorized by scenario and warning sample feature values ​​categorized by pattern, respectively; generate a monitoring task input set by traversing all combinations of electricity consumption parameters through a cyclic sampling model, and obtain a real-time warning feature value set; calculate membership based on the maximum / minimum difference, match the optimal electricity consumption status sample cluster, and generate a switching link label; evaluate the mode switching conditions through the cumulative deviation value and trigger the warning. This invention solves the problems of poor adaptability and delayed response caused by the reliance on fixed thresholds for mode switching in traditional energy meters, and achieves accurate identification and proactive switching of abnormal modes in multiple scenarios.

Systems or methods of the present disclosure may provide a design tool for adjusting designs implemented on programmable logic devices. The present disclosure includes receiving one or more sources, like documentation, design files, constraints, design reports, source code, chat history, or any combination thereof. The present disclosure also includes identifying relevant relationships between related information across the one or more sources, creating attribution metadata to track lineage of information based on the relevant relationships, and continuously maintaining and updating a knowledge integration database using the attribution metadata. Furthermore, the present disclosure includes providing visualization of the knowledge integration database.

The invention belongs to the technical field of T / R assembly detection, and particularly provides an aviation radar T / R assembly comprehensive intelligent detection and fault positioning system which comprises a main control module, a radio frequency test module, a multi-channel radio frequency switching matrix, a precision test clamp, a programmable power supply management module, an intelligent diagnosis and fault positioning module and a comprehensive database module. And the main control module cooperates with each hardware module to complete automatic testing. The intelligent diagnosis and fault positioning module performs data interaction with the comprehensive database module, adopts a hierarchical diagnosis strategy and combines a closed-loop feedback mechanism to dynamically adjust a test scheme, and finally realizes accurate fault positioning from a component level to a component level. According to the method, the test efficiency and the troubleshooting speed of the T / R assembly are improved, accurate fault positioning is realized, the high-quality and high-efficiency test and guarantee requirements of modern aviation radar are met, and the problems existing in the existing T / R assembly detection technology are effectively solved.

A system to evaluate engagement score of at least one of a social media post is disclosed. The system includes a processing subsystem including a registration module to register users in an integrated database by creating user profile. The registration module is to link social media platforms associated with the users with the user profile. The processing subsystem includes a bio page module to fetch parameters corresponding to the social media post from the social media platforms. The bio page module is to generate hash value corresponding to the parameters to append the parameters in a blockchain network. The processing subsystem includes a scoring module to normalize the number of likes, the number of shares and the number of comments to obtain respective normalized values. The scoring module is to add the respective normalized values upon multiplying the respective normalized values to obtain the engagement score.

An LLM-based intelligent warehouse management system according to an embodiment of the present invention comprises: a cloud server; an edge device for monitoring a work performance situation in real time; and an on-premise server that responds to an exceptional situation by using stored information when the exceptional situation occurs, wherein the cloud server comprises: an LLM service unit that receives an input of a work instruction in natural language from a manager client and interprets the input work instruction by using LLM; an integrated database unit for storing work data to consider a warehouse situation; an intelligent service unit for allocating work according to a work plan, wherein the LLM-based intelligent warehouse management system comprises an AMR for performing work while autonomously moving according to the allocated work.

The invention relates to the technical field of data integration, in particular to an internet information integration method and device and electronic equipment. The method comprises the following steps: preprocessing Internet multi-source information; performing data analysis and structuring on the Internet multi-source information to obtain a standardized data model; constructing a multi-source evaluation model based on the standardized data model to evaluate the credibility of the Internet multi-source information; performing information fusion and conflict resolution on the Internet multi-source information based on the comprehensive credibility score; and constructing an integrated database based on the Internet multi-source information after information fusion and conflict resolution. According to the invention, by constructing a multi-source acquisition engine, a heterogeneous analyzer, a credibility evaluation matrix and an intelligent fusion engine, automatic, structured and credible integration of enterprise-related internet information is realized.

We provide a system that allows users to easily and quickly obtain the information they need, eliminating redundant work and waste within the company. [Solution] A system comprising: means for periodically collecting data from various internal data sources; means for converting the collected data into an appropriate format and storing it in an integrated database; means for users to input questions in chat format via a terminal; means for analyzing the received questions using natural language processing and generating search queries; means for obtaining relevant information from the integrated database based on the generated search queries; means for generating answers using generative artificial intelligence based on the obtained information; and means for sending and displaying the generated answers on the user's terminal.

This invention discloses a method and system for rapid extraction of building targets from integrated surveying and mapping data, relating to the technical field of building target extraction. The method includes: integrating multi-source parallel acquisition data to construct an integrated surveying and mapping database for the target area; acquiring first-dimensional integrated surveying and mapping data of the target building; extracting high-dimensional feature vectors representing the exterior materials of the target building; inputting the high-dimensional feature vectors into a spectral-texture co-enhancement model for data extraction impact analysis; if a first influence coefficient is greater than a preset influence coefficient, activating a spectral-texture co-enhancement network for data enhancement, acquiring second-dimensional integrated surveying and mapping data of the target building, and generating an extraction model for the target building. This invention solves the technical problem in existing technologies where it is difficult to effectively identify target buildings composed of different building materials based on their reflectivity, leading to low building recognition rates and poor extraction accuracy. It efficiently generates accurate extraction models, achieving the technical effect of improving the building target recognition rate and accuracy.

The application discloses a kind of visual straw utilization characteristic analysis method and system, belong to soil carbon emission field, the method includes: collection soil physical and chemical property data and the characteristic data of different types of rotten straw, and the data collected are preprocessed, and integrated database is obtained by construction;The data in integrated database is processed by biological carbon utilization characteristic analysis model, simulates the dynamic process of soil carbon cycle after corresponding type of rotten straw is applied, obtains key variable data;According to the key variable data calculated, traverse the time series in integrated database, calculate carbon sequestration efficiency, microbial activity and physical protection intensity, obtain enhanced time series data, use enhanced time series data and key variable data as data source, and render to obtain visual diagram.The application improves the calculation accuracy and accuracy of soil carbon emission flux and accumulation.

The invention discloses a visual straw utilization characteristic analysis method and system, and belongs to the field of soil carbon emission.The method comprises the steps that soil physicochemical property data and characteristic data of different types of decomposed straw are collected, the collected data are preprocessed, and a comprehensive database is constructed; processing the data in the comprehensive database through the biological carbon by utilizing a characteristic analysis model, and simulating a soil carbon cycle dynamic process after applying the decomposed straws of the corresponding type to obtain key variable data; and traversing the time sequence in the comprehensive database according to the calculated key variable data, calculating carbon sequestration efficiency, microbial activity and physical protection intensity to obtain enhanced time sequence data, and rendering by taking the enhanced time sequence data and the key variable data as data sources to obtain a visualization graph. According to the method, the calculation precision and accuracy of the soil carbon emission flux and cumulant are improved.